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2020 – today
- 2025
[j94]Yurong Guo, Ruoyi Du, Aneeshan Sain, Kongming Liang, Yuan Dong, Yi-Zhe Song, Zhanyu Ma:
Understanding Episode Hardness in Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 616-633 (2025)- 2024
- [j93]Kongming Liang
, Zijin Yin, Min Min, Yan Liu, Zhanyu Ma, Jun Guo:
Learning Dynamic Prototypes for Visual Pattern Debiasing. Int. J. Comput. Vis. 132(5): 1777-1799 (2024) - [j92]Ruoyi Du, Dongliang Chang, Zhanyu Ma, Kongming Liang, Yi-Zhe Song, Jun Guo:
Semi-Supervised Learning for FGVC With Out-of-Category Data. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2658-2671 (2024) - [j91]Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song:
Bi-Directional Ensemble Feature Reconstruction Network for Few-Shot Fine-Grained Classification. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6082-6096 (2024) - [j90]Xiaoxu Li, Zhen Li, Jiyang Xie, Xiaochen Yang, Jing-Hao Xue, Zhanyu Ma:
Self-reconstruction network for fine-grained few-shot classification. Pattern Recognit. 153: 110485 (2024) - [j89]Xiaoxu Li, Zijie Guo, Rui Zhu, Zhanyu Ma, Jun Guo, Jing-Hao Xue:
A simple scheme to amplify inter-class discrepancy for improving few-shot fine-grained image classification. Pattern Recognit. 156: 110736 (2024) - [j88]Yiming Zhang, Ruoyi Du, Zheng-Hua Tan, Wenwu Wang, Zhanyu Ma:
Generating Accurate and Diverse Audio Captions Through Variational Autoencoder Framework. IEEE Signal Process. Lett. 31: 2520-2524 (2024) - [j87]Dongliang Chang, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Ruiping Wang, Jun Guo:
Mind the Gap: Open Set Domain Adaptation via Mutual-to-Separate Framework. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4159-4174 (2024) - [j86]Mingcong Lu, Ruifan Li, Fangxiang Feng, Zhanyu Ma, Xiaojie Wang:
LGR-NET: Language Guided Reasoning Network for Referring Expression Comprehension. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7771-7784 (2024) - [j85]Yixiao Zheng, Kaiyue Pang, Ayan Das, Dongliang Chang, Yi-Zhe Song, Zhanyu Ma:
CreativeSeg: Semantic Segmentation of Creative Sketches. IEEE Trans. Image Process. 33: 2266-2278 (2024) - [j84]Ruifan Li, Hao Chen, Fangxiang Feng, Zhanyu Ma, Xiaojie Wang, Eduard H. Hovy:
DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7642-7656 (2024) - [c114]Jiayi Gao, Kongming Liang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo:
Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection. AAAI 2024: 1806-1814 - [c113]Ruoyi Du, Dongliang Chang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
DemoFusion: Democratising High-Resolution Image Generation With No $$$. CVPR 2024: 6159-6168 - [c112]Yufei Han, Heng Guo, Koki Fukai, Hiroaki Santo, Boxin Shi, Fumio Okura, Zhanyu Ma, Yunpeng Jia:
NeRSP: Neural 3D Reconstruction for Reflective Objects with Sparse Polarized Images. CVPR 2024: 11821-11830 - [c111]Zijin Yin, Kongming Liang, Bing Li, Zhanyu Ma, Jun Guo:
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing. CVPR 2024: 22509-22519 - [c110]Shuang Cheng, Zhanyu Ma, Jian Ye:
A Benchmark of Zero-Shot Cross-Lingual Task-Oriented Dialogue Based on Adversarial Contrastive Representation Learning. ICME 2024: 1-6 - [c109]Tian Zhang, Kongming Liang, Ke Zhang, Zhanyu Ma:
Learning Conditional Prompt for Compositional Zero-Shot Learning. ICME 2024: 1-6 - [c108]Pengyue Lin, Ruifan Li, Yuzhe Ji, Zhihan Yu, Fangxiang Feng, Zhanyu Ma, Xiaojie Wang:
Triple Alignment Strategies for Zero-shot Phrase Grounding under Weak Supervision. ACM Multimedia 2024: 4312-4321 - [c107]Wenjie Li, Heng Guo, Xuannan Liu, Kongming Liang, Jiani Hu, Zhanyu Ma, Jun Guo:
Efficient Face Super-Resolution via Wavelet-based Feature Enhancement Network. ACM Multimedia 2024: 4515-4523 - [c106]Shicheng Yang, Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Jing-Hao Xue:
Channel-Spatial Support-Query Cross-Attention for Fine-Grained Few-Shot Image Classification. ACM Multimedia 2024: 9175-9183 - [c105]Haiwen Zhang, Zixi Yang, Yuanzhi Liu, Xinran Wang, Zheqi He, Kongming Liang, Zhanyu Ma:
Evaluating Attribute Comprehension in Large Vision-Language Models. PRCV (5) 2024: 98-113 - [c104]Yuxuan Wang, Tianwei Cao, Kongming Liang, Zhongjiang He, Hao Sun, Yongxiang Li, Zhanyu Ma:
Mixture-of-Hand-Experts: Repainting the Deformed Hand Images Generated by Diffusion Models. PRCV (5) 2024: 143-157 - [e13]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14425, Springer 2024, ISBN 978-981-99-8428-2 [contents] - [e12]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14426, Springer 2024, ISBN 978-981-99-8431-2 [contents] - [e11]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14427, Springer 2024, ISBN 978-981-99-8434-3 [contents] - [e10]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14428, Springer 2024, ISBN 978-981-99-8461-9 [contents] - [e9]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14429, Springer 2024, ISBN 978-981-99-8468-8 [contents] - [e8]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VI. Lecture Notes in Computer Science 14430, Springer 2024, ISBN 978-981-99-8536-4 [contents] - [e7]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VII. Lecture Notes in Computer Science 14431, Springer 2024, ISBN 978-981-99-8539-5 [contents] - [e6]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VIII. Lecture Notes in Computer Science 14432, Springer 2024, ISBN 978-981-99-8542-5 [contents] - [e5]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IX. Lecture Notes in Computer Science 14433, Springer 2024, ISBN 978-981-99-8545-6 [contents] - [e4]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part X. Lecture Notes in Computer Science 14434, Springer 2024, ISBN 978-981-99-8548-7 [contents] - [e3]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XI. Lecture Notes in Computer Science 14435, Springer 2024, ISBN 978-981-99-8551-7 [contents] - [e2]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XII. Lecture Notes in Computer Science 14436, Springer 2024, ISBN 978-981-99-8554-8 [contents] - [e1]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XIII. Lecture Notes in Computer Science 14437, Springer 2024, ISBN 978-981-99-8557-9 [contents] - [i78]Zijin Yin, Kongming Liang, Bing Li, Zhanyu Ma, Jun Guo:
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing. CoRR abs/2403.01231 (2024) - [i77]Yiming Zhang, Xuenan Xu, Ruoyi Du, Haohe Liu, Yuan Dong, Zheng-Hua Tan, Wenwu Wang, Zhanyu Ma:
Zero-Shot Audio Captioning Using Soft and Hard Prompts. CoRR abs/2406.06295 (2024) - [i76]Yufei Han, Heng Guo, Koki Fukai, Hiroaki Santo, Boxin Shi, Fumio Okura, Zhanyu Ma, Yunpeng Jia:
NeRSP: Neural 3D Reconstruction for Reflective Objects with Sparse Polarized Images. CoRR abs/2406.07111 (2024) - [i75]Mengqiu Xu, Ming Wu, Kaixin Chen, Yixiang Huang, Mingrui Xu, Yujia Yang, Yiqing Feng, Yiying Guo, Bin Huang, Dongliang Chang, Zhenwei Shi, Chuang Zhang, Zhanyu Ma, Jun Guo:
M4Fog: A Global Multi-Regional, Multi-Modal, and Multi-Stage Dataset for Marine Fog Detection and Forecasting to Bridge Ocean and Atmosphere. CoRR abs/2406.13317 (2024) - [i74]Le Zhuo, Ruoyi Du, Han Xiao, Yangguang Li, Dongyang Liu, Rongjie Huang, Wenze Liu, Lirui Zhao, Fu-Yun Wang, Zhanyu Ma, Xu Luo, Zehan Wang, Kaipeng Zhang, Xiangyang Zhu, Si Liu, Xiangyu Yue, Dingning Liu, Wanli Ouyang, Ziwei Liu, Yu Qiao, Hongsheng Li, Peng Gao:
Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT. CoRR abs/2406.18583 (2024) - [i73]Wenjie Li, Heng Guo, Xuannan Liu, Kongming Liang, Jiani Hu, Zhanyu Ma, Jun Guo:
Efficient Face Super-Resolution via Wavelet-based Feature Enhancement Network. CoRR abs/2407.19768 (2024) - [i72]Haiwen Zhang, Zixi Yang, Yuanzhi Liu, Xinran Wang, Zheqi He, Kongming Liang, Zhanyu Ma:
Evaluating Attribute Comprehension in Large Vision-Language Models. CoRR abs/2408.13898 (2024) - [i71]Ruoyi Du, Dongyang Liu, Le Zhuo, Qin Qi, Hongsheng Li, Zhanyu Ma, Peng Gao:
I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow. CoRR abs/2410.07536 (2024) - [i70]Runpu Wei, Zijin Yin, Kongming Liang, Min Min, Chengwei Pan, Gang Yu, Haonan Huang, Yan Liu, Zhanyu Ma:
Polyp-E: Benchmarking the Robustness of Deep Segmentation Models via Polyp Editing. CoRR abs/2410.16732 (2024) - 2023
- [j83]Xiaoxu Li, Yalan Li, Yixiao Zheng, Rui Zhu, Zhanyu Ma, Jing-Hao Xue, Jie Cao:
ReNAP: Relation network with adaptiveprototypical learning for few-shot classification. Neurocomputing 520: 356-364 (2023) - [j82]Dongliang Chang, Kaiyue Pang, Ruoyi Du, Yujun Tong, Yi-Zhe Song, Zhanyu Ma, Jun Guo:
Making a Bird AI Expert Work for You and Me. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12068-12084 (2023) - [j81]Xiaoxu Li, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue:
Deep metric learning for few-shot image classification: A Review of recent developments. Pattern Recognit. 138: 109381 (2023) - [j80]Yiming Zhang, Hong Yu, Ruoyi Du, Zheng-Hua Tan, Wenwu Wang, Zhanyu Ma, Yuan Dong:
ACTUAL: Audio Captioning With Caption Feature Space Regularization. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2643-2657 (2023) - [j79]Xiaoxu Li, Qi Song, Jijie Wu, Rui Zhu, Zhanyu Ma, Jing-Hao Xue:
Locally-Enriched Cross-Reconstruction for Few-Shot Fine-Grained Image Classification. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7530-7540 (2023) - [j78]Zhanyu Ma, Degang Xu, Quan Chai, Jianzhong Zhang:
Amplification Enhanced Measurement Scheme of Pump-Dependent Dispersion in EDF Based on OLCR. IEEE Trans. Instrum. Meas. 72: 1-6 (2023) - [j77]Junhui Yin, Xinyu Zhang, Zhanyu Ma, Jun Guo, Yifan Liu:
A Real-Time Memory Updating Strategy for Unsupervised Person Re-Identification. IEEE Trans. Image Process. 32: 2309-2321 (2023) - [j76]Yixiao Zheng, Jiyang Xie, Aneeshan Sain, Yi-Zhe Song, Zhanyu Ma:
Sketch-Segformer: Transformer-Based Segmentation for Figurative and Creative Sketches. IEEE Trans. Image Process. 32: 4595-4609 (2023) - [j75]Zhanyu Ma, Xiaoou Lu, Jiyang Xie, Zhen Yang, Jing-Hao Xue, Zheng-Hua Tan, Bo Xiao, Jun Guo:
On the Comparisons of Decorrelation Approaches for Non-Gaussian Neutral Vector Variables. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1823-1837 (2023) - [c103]Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song:
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification. AAAI 2023: 2821-2829 - [c102]Meijiang Fu, Yixiao Zheng, Dongliang Chang, Wenpan Li, Zhanyu Ma:
Multi-Frequency Feature Enhancement for Multi-Granularity Visual Classification. APSIPA ASC 2023: 484-489 - [c101]Zhanyu Ma, Jian Ye, Shuang Cheng:
LaDA: Latent Dialogue Action For Zero-shot Cross-lingual Neural Network Language Modeling. CogSci 2023 - [c100]Dongliang Chang, Yujun Tong, Ruoyi Du, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
An Erudite Fine-Grained Visual Classification Model. CVPR 2023: 7268-7277 - [c99]Ruoyi Du, Dongliang Chang, Kongming Liang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
On-the-Fly Category Discovery. CVPR 2023: 11691-11700 - [c98]Jiahao Xie, Wei Xu, Dingkang Liang, Zhanyu Ma, Kongming Liang, Weidong Liu, Rui Wang, Ling Jin:
Super-Resolution Information Enhancement for Crowd Counting. ICASSP 2023: 1-5 - [c97]Zijin Yin, Runpu Wei, Kongming Liang, Yiyang Lin, Wei Liu, Zhanyu Ma, Min Min, Jun Guo:
Semantic Memory Guided Image Representation for Polyp Segmentation. ICASSP 2023: 1-5 - [c96]Ruoyi Du, Wenqing Yu, Heqing Wang, Ting-En Lin, Dongliang Chang, Zhanyu Ma:
Multi-View Active Fine-Grained Visual Recognition. ICCV 2023: 1568-1578 - [c95]Yurong Guo, Ruoyi Du, Yuan Dong, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
Task-aware Adaptive Learning for Cross-domain Few-shot Learning. ICCV 2023: 1590-1599 - [c94]Ming-Zhe Li, Zhen Jia, Zhang Zhang, Zhanyu Ma, Liang Wang:
Multi-semantic Fusion Model For Generalized Zero-Shot Skeleton-Based Action Recognition. ICIG (1) 2023: 68-80 - [c93]Kongming Liang, Xinran Wang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo:
Attribute Learning with Knowledge Enhanced Partial Annotations. ICIP 2023: 1715-1719 - [c92]Yitao Chen, Ruoyi Du, Kongming Liang, Zhanyu Ma:
Self-Enhanced Training Framework for Referring Expression Grounding. ICIP 2023: 3060-3064 - [c91]Kongming Liang, Xinran Wang, Rui Wang, Donghui Gao, Ling Jin, Weidong Liu, Xiatian Zhu, Zhanyu Ma, Jun Guo:
Vision-Language Assisted Attribute Learning. IC-NIDC 2023: 1-5 - [c90]Wenqing Yu, Dongliang Chang, Kongming Liang, Zhanyu Ma:
Bilinear Adversarial Network for Fine-Grained Domain Adaptation. IC-NIDC 2023: 132-136 - [c89]Zhanyu Ma, Jian Ye, Shuang Cheng:
KSRL: Knowledge Selection Based Reinforcement Learning for Knowledge-Grounded Dialogue. KSEM (4) 2023: 189-196 - [c88]Kongming Liang, Xinran Wang, Haiwen Zhang, Zhanyu Ma, Jun Guo:
Hierarchical Visual Attribute Learning in the Wild. ACM Multimedia 2023: 3415-3423 - [c87]Yinuo Jing, Chunyu Wang, Ruxu Zhang, Kongming Liang, Zhanyu Ma:
Category-Specific Prompts for Animal Action Recognition with Pretrained Vision-Language Models. ACM Multimedia 2023: 5716-5724 - [c86]Jie Wang, Yixiao Zheng, Ruoyi Du, Yiming Zhang, Kongming Liang, Zhanyu Ma:
Plugging Stylized Controls in Open-Stylized Image Captioning. PRCV (1) 2023: 309-320 - [c85]Mandan Guan, Wenqing Yu, Yurong Guo, Keyan Huang, Jiaxun Zhang, Kongming Liang, Zhanyu Ma:
Focus the Overlapping Problem on Few-Shot Object Detection via Multiple Predictions. PRCV (2) 2023: 427-439 - [c84]Zihan Yan, Ruoyi Du, Kongming Liang, Tao Wei, Wei Chen, Zhanyu Ma:
Image Generation Based Intra-class Variance Smoothing for Fine-Grained Visual Classification. PRCV (6) 2023: 447-459 - [i69]Jiahao Xie, Wei Xu, Dingkang Liang, Zhanyu Ma, Kongming Liang, Weidong Liu, Rui Wang, Ling Jin:
Super-Resolution Information Enhancement For Crowd Counting. CoRR abs/2303.06925 (2023) - [i68]Zhanyu Ma, Jian Ye, Shuang Cheng:
LaDA: Latent Dialogue Action For Zero-shot Cross-lingual Neural Network Language Modeling. CoRR abs/2308.02903 (2023) - [i67]Ming-Zhe Li, Zhen Jia, Zhang Zhang, Zhanyu Ma, Liang Wang:
Multi-Semantic Fusion Model for Generalized Zero-Shot Skeleton-Based Action Recognition. CoRR abs/2309.09592 (2023) - [i66]Junhui Yin, Wei Yin, Hao Chen, Xuqian Ren, Zhanyu Ma, Jun Guo, Yifan Liu:
HumanRecon: Neural Reconstruction of Dynamic Human Using Geometric Cues and Physical Priors. CoRR abs/2311.15171 (2023) - [i65]Ruoyi Du, Dongliang Chang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
DemoFusion: Democratising High-Resolution Image Generation With No $$$. CoRR abs/2311.16973 (2023) - [i64]Kongming Liang, Xinran Wang, Rui Wang, Donghui Gao, Ling Jin, Weidong Liu, Xiatian Zhu, Zhanyu Ma, Jun Guo:
Vision-language Assisted Attribute Learning. CoRR abs/2312.07009 (2023) - 2022
- [j74]Junhui Yin, Zhanyu Ma, Jiyang Xie, Shibo Nie, Kongming Liang, Jun Guo:
Dual-granularity feature alignment for cross-modality person re-identification. Neurocomputing 511: 78-90 (2022) - [j73]Jiyang Xie, Zhanyu Ma, Jianjun Lei, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo:
Advanced Dropout: A Model-Free Methodology for Bayesian Dropout Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4605-4625 (2022) - [j72]Jiyang Xie, Zhanyu Ma, Dongliang Chang, Guoqiang Zhang, Jun Guo:
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8230-8248 (2022) - [j71]Ruoyi Du, Jiyang Xie, Zhanyu Ma, Dongliang Chang, Yi-Zhe Song, Jun Guo:
Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9521-9535 (2022) - [j70]Junhui Yin, Siqing Zhang, Jiyang Xie, Zhanyu Ma, Jun Guo:
Unsupervised person re-identification via simultaneous clustering and mask prediction. Pattern Recognit. 126: 108568 (2022) - [j69]Junhui Yin, Jiyang Xie, Zhanyu Ma, Jun Guo:
MPCCL: Multiview predictive coding with contrastive learning for person re-identification. Pattern Recognit. 129: 108710 (2022) - [j68]Zhanyu Ma, Xu Lu, Quan Chai, Gui Xiao, Yonggui Yuan, Gang Wang, Nianjiang Chen, Elfed Lewis, Jian-Jun Zhang, Jun Yang:
A Distributed Bonding Interfacial Loss Characterizing Method of Composite Crystal Based on Optical Low-Coherence Domain Reflectometry. IEEE Trans. Instrum. Meas. 71: 1-7 (2022) - [j67]Ce Ge, Haifeng Sun, Yi-Zhe Song, Zhanyu Ma, Jianxin Liao:
Exploring Local Detail Perception for Scene Sketch Semantic Segmentation. IEEE Trans. Image Process. 31: 1447-1461 (2022) - [j66]Jianhua Yang, Yan Huang, Kai Niu, Linjiang Huang, Zhanyu Ma, Liang Wang:
Actor and Action Modular Network for Text-Based Video Segmentation. IEEE Trans. Image Process. 31: 4474-4489 (2022) - [j65]Yurong Guo, Ruoyi Du, Xiaoxu Li, Jiyang Xie, Zhanyu Ma, Yuan Dong:
Learning Calibrated Class Centers for Few-Shot Classification by Pair-Wise Similarity. IEEE Trans. Image Process. 31: 4543-4555 (2022) - [j64]Zhanyu Ma, Yuping Lai, Jiyang Xie, Deyu Meng, W. Bastiaan Kleijn, Jun Guo, Jingyi Yu:
Dirichlet Process Mixture of Generalized Inverted Dirichlet Distributions for Positive Vector Data With Extended Variational Inference. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6089-6102 (2022) - [c83]Xiangxuan Shan, Zijin Yin, Jiayi Gao, Kongming Liang, Zhanyu Ma, Jun Guo:
Unsupervised Domain Adaptation for Semantic Segmentation with Global and Local Consistency. CICAI (1) 2022: 154-165 - [c82]Zhanyu Ma, Jian Ye, Xurui Yang, Jianfeng Liu:
HCLD: A Hierarchical Framework for Zero-shot Cross-lingual Dialogue System. COLING 2022: 4492-4498 - [c81]Jiyang Xie, Xiu Su, Shan You, Zhanyu Ma, Fei Wang, Chen Qian:
ScaleNet: Searching for the Model to Scale. ECCV (21) 2022: 104-120 - [c80]Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma, Jun Guo:
Learning Invariant Visual Representations for Compositional Zero-Shot Learning. ECCV (24) 2022: 339-355 - [c79]Wenqing Zheng, Jiyang Xie, Xian Sun, Zhanyu Ma:
Structured Dropconnect for Uncertainty Inference in Image Classification. ICIP 2022: 366-370 - [c78]Yun Liu, Yihui Shi, Fangxiang Feng, Ruifan Li, Zhanyu Ma, Xiaojie Wang:
Improving Image Paragraph Captioning with Dual Relations. ICME 2022: 1-6 - [c77]Zijin Yin, Kongming Liang, Zhanyu Ma, Jun Guo:
Duplex Contextual Relation Network For Polyp Segmentation. ISBI 2022: 1-5 - [c76]Jingye Wang, Ruoyi Du, Dongliang Chang, Kongming Liang, Zhanyu Ma:
Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction. ACM Multimedia 2022: 4821-4829 - [c75]Dongliang Chang, Junhan Chen, Xinran Wang, Ruoyi Du, Wenqing Yu, Yufan Liu, Yujun Tong, Kongming Liang, Yi-Zhe Song, Zhanyu Ma:
Complex Scenario-Oriented Fine-Grained Visual Classification Platform. MMSP 2022: 1 - [c74]Yitao Chen, Shibo Nie, Mandan Guan, Jie Wang, Ruoyi Du, Dongliang Chang, Kongming Liang, Zhanyu Ma:
Multi-modal Human-machine Conversation System for Real Physical World. MMSP 2022: 1 - [c73]Junhan Chen, Dongliang Chang, Jiyang Xie, Ruoyi Du, Zhanyu Ma:
Cross-Layer Feature based Multi-Granularity Visual Classification. VCIP 2022: 1-5 - [c72]Yixiao Zheng, Jiyang Xie, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
ENDE-GNN: An Encoder-decoder GNN Framework for Sketch Semantic Segmentation. VCIP 2022: 1-5 - [i63]Jingye Wang, Ruoyi Du, Dongliang Chang, Zhanyu Ma:
Domain Generalization via Frequency-based Feature Disentanglement and Interaction. CoRR abs/2201.08029 (2022) - [i62]Yiming Zhang, Hong Yu, Ruoyi Du, Zhanyu Ma, Yuan Dong:
Caption Feature Space Regularization for Audio Captioning. CoRR abs/2204.08409 (2022) - [i61]Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma, Jun Guo:
Learning Invariant Visual Representations for Compositional Zero-Shot Learning. CoRR abs/2206.00415 (2022) - [i60]Ruoyi Du, Wenqing Yu, Heqing Wang, Dongliang Chang, Ting-En Lin, Yongbin Li, Zhanyu Ma:
Multi-View Active Fine-Grained Recognition. CoRR abs/2206.01153 (2022) - [i59]Jiyang Xie, Xiu Su, Shan You, Zhanyu Ma, Fei Wang, Chen Qian:
ScaleNet: Searching for the Model to Scale. CoRR abs/2207.07267 (2022) - [i58]Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song:
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification. CoRR abs/2211.17161 (2022) - 2021
- [j63]Jing-Hao Xue, Jufeng Yang, Xiaoxu Li, Yan Yan, Yujiu Yang, Zongqing Lu, Zhanyu Ma:
Guest Editorial: Special issue on deep learning with small samples. Neurocomputing 456: 461-462 (2021) - [j62]Xiaoxu Li, Zhuo Sun, Jing-Hao Xue, Zhanyu Ma:
A concise review of recent few-shot meta-learning methods. Neurocomputing 456: 463-468 (2021) - [j61]Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jun Guo:
Deep InterBoost networks for small-sample image classification. Neurocomputing 456: 492-503 (2021) - [j60]Ke Zhang, Yurong Guo, Xinsheng Wang, Dongliang Chang, Zhenbing Zhao, Zhanyu Ma, Tony X. Han:
Competing ratio loss for discriminative multi-class image classification. Neurocomputing 464: 473-484 (2021) - [j59]Xiaoou Lu, Yangqi Qiao, Rui Zhu, Guijin Wang, Zhanyu Ma, Jing-Hao Xue:
Generalisations of stochastic supervision models. Pattern Recognit. 109: 107575 (2021) - [j58]Wei Xu, Dingkang Liang, Yixiao Zheng, Jiahao Xie, Zhanyu Ma:
Dilated-Scale-Aware Category-Attention ConvNet for Multi-Class Object Counting. IEEE Signal Process. Lett. 28: 1570-1574 (2021) - [j57]Xiaoxu Li, Liyun Yu, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue, Jie Cao, Jun Guo:
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1569-1579 (2021) - [j56]Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, Yi-Zhe Song:
Fine-Grained Instance-Level Sketch-Based Video Retrieval. IEEE Trans. Circuits Syst. Video Technol. 31(5): 1995-2007 (2021) - [j55]Xiaoxu Li, Jijie Wu, Zhuo Sun, Zhanyu Ma, Jie Cao, Jing-Hao Xue:
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. IEEE Trans. Image Process. 30: 1318-1331 (2021) - [j54]Yifeng Ding, Zhanyu Ma, Shaoguo Wen, Jiyang Xie, Dongliang Chang, Zhongwei Si, Ming Wu, Haibin Ling:
AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification. IEEE Trans. Image Process. 30: 2826-2836 (2021) - [j53]Jiyang Xie, Zhanyu Ma, Jing-Hao Xue, Guoqiang Zhang, Jian Sun, Yinhe Zheng, Jun Guo:
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition. IEEE Trans. Image Process. 30: 9208-9219 (2021) - [j52]Jiyang Xie, Yixiao Zheng, Ruoyi Du, Weiyu Xiong, Yufei Cao, Zhanyu Ma, Dongpu Cao, Jun Guo:
Deep Learning-Based Computer Vision for Surveillance in ITS: Evaluation of State-of-the-Art Methods. IEEE Trans. Veh. Technol. 70(4): 3027-3042 (2021) - [c71]Ruifan Li, Hao Chen, Fangxiang Feng, Zhanyu Ma, Xiaojie Wang, Eduard H. Hovy:
Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis. ACL/IJCNLP (1) 2021: 6319-6329 - [c70]Zeyuan Wang, Zhiyu Wei, Lihui Zhang, Ruifan Li, Zhanyu Ma:
Entailment Method Based on Template Selection for Chinese Text Few-shot Learning. APSIPA ASC 2021: 2060-2065 - [c69]Yazhou Li, Yihui Shi, Yun Liu, Ruifan Li, Zhanyu Ma:
Image Captioning Based on An Improved Transformer with IoU Position Encoding. APSIPA ASC 2021: 2066-2071 - [c68]Yifeng Ding, Shuwei Dong, Yujun Tong, Zhanyu Ma, Bo Xiao, Haibin Ling:
Channel DropBlock: An Improved Regularization Method for Fine-Grained Visual Classification. BMVC 2021: 267 - [c67]Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Your "Flamingo" is My "Bird": Fine-Grained, or Not. CVPR 2021: 11476-11485 - [c66]Jianhua Yang, Yan Huang, Zhanyu Ma, Liang Wang:
CMF: Cascaded Multi-Model Fusion For Referring Image Segmentation. ICIP 2021: 2289-2293 - [c65]Wenyu Sun, Jiyang Xie, Jiayan Qiu, Zhanyu Ma:
Part Uncertainty Estimation Convolutional Neural Network For Person Re-Identification. ICIP 2021: 2304-2308 - [c64]Siqing Zhang, Ruoyi Du, Dongliang Chang, Zhanyu Ma, Jun Guo:
Knowledge Transfer Based Fine-Grained Visual Classification. ICME 2021: 1-6 - [c63]Weiyu Xiong, Zhanyu Ma, Yi-Zhe Song:
Robust Augmentations for Small Object Detection of Aerial Images. IC-NIDC 2021: 128-132 - [c62]Ming Zhou, Zhen Yang, Haiyang Yu, Yingxu Lai, Zhanyu Ma:
Privacy-Preserving Verifiable Collaborative Learning with Chain Aggregation. IC-NIDC 2021: 428-433 - [c61]Jingye Wang, Yixiao Zheng, Weiyu Xiong, Junhan Chen, Zhanyu Ma, Rongliang Ma:
A Probabilistic Expression System for Fingerprint Identification Findings Based on Stability. IC-NIDC 2021: 435-439 - [c60]Shuai Xu, Dongliang Chang, Jiyang Xie, Zhanyu Ma:
GRAD-CAM Guided Channel-Spatial Attention Module for Fine-Grained Visual Classification. MLSP 2021: 1-6 - [c59]Yihui Shi, Yun Liu, Fangxiang Feng, Ruifan Li, Zhanyu Ma, Xiaojie Wang:
S2TD: A Tree-Structured Decoder for Image Paragraph Captioning. MMAsia 2021: 5:1-5:7 - [c58]Chenyu Guo, Jiyang Xie, Kongming Liang, Xian Sun, Zhanyu Ma:
Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification. MMAsia 2021: 49:1-49:5 - [c57]Haoyu Wang, Dongliang Chang, Weidong Liu, Bo Xiao, Zhanyu Ma, Jun Guo, Yaning Chang:
Exploring Category-Shared and Category-Specific Features for Fine-Grained Image Classification. PRCV (1) 2021: 179-190 - [c56]Yurong Guo, Zhanyu Ma, Xiaoxu Li, Yuan Dong:
TLRM: Task-level Relation Module for GNN-based Few-Shot Learning. VCIP 2021: 1-5 - [c55]Tian Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo:
Progressive Co-Attention Network for Fine-Grained Visual Classification. VCIP 2021: 1-5 - [i57]Tian Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo:
Progressive Co-Attention Network for Fine-grained Visual Classification. CoRR abs/2101.08527 (2021) - [i56]Shuai Xu, Dongliang Chang, Jiyang Xie, Zhanyu Ma:
Grad-CAM guided channel-spatial attention module for fine-grained visual classification. CoRR abs/2101.09666 (2021) - [i55]Yurong Guo, Zhanyu Ma, Xiaoxu Li, Yuan Dong:
ATRM: Attention-based Task-level Relation Module for GNN-based Few-shot Learning. CoRR abs/2101.09840 (2021) - [i54]Dongliang Chang, Yixiao Zheng, Zhanyu Ma, Ruoyi Du, Kongming Liang:
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features. CoRR abs/2102.00367 (2021) - [i53]Zijin Yin, Kongming Liang, Zhanyu Ma, Jun Guo:
Duplex Contextual Relation Network for Polyp Segmentation. CoRR abs/2103.06725 (2021) - [i52]Junhui Yin, Jiayan Qiu, Siqing Zhang, Jiyang Xie, Zhanyu Ma, Jun Guo:
Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning. CoRR abs/2104.00202 (2021) - [i51]Junhui Yin, Zhanyu Ma, Jiyang Xie, Shibo Nie, Kongming Liang, Jun Guo:
DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification. CoRR abs/2104.00226 (2021) - [i50]Xiaoxu Li, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue:
Deep Metric Learning for Few-Shot Image Classification: A Selective Review. CoRR abs/2105.08149 (2021) - [i49]Yifeng Ding, Shuwei Dong, Yujun Tong, Zhanyu Ma, Bo Xiao, Haibin Ling:
Channel DropBlock: An Improved Regularization Method for Fine-Grained Visual Classification. CoRR abs/2106.03432 (2021) - [i48]Jianhua Yang, Yan Huang, Zhanyu Ma, Liang Wang:
CMF: Cascaded Multi-model Fusion for Referring Image Segmentation. CoRR abs/2106.08617 (2021) - [i47]Wenqing Zheng, Jiyang Xie, Weidong Liu, Zhanyu Ma:
Structured DropConnect for Uncertainty Inference in Image Classification. CoRR abs/2106.08624 (2021) - [i46]Chenyu Guo, Jiyang Xie, Kongming Liang, Xian Sun, Zhanyu Ma:
Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification. CoRR abs/2106.10920 (2021) - [i45]Dongliang Chang, Kaiyue Pang, Ruoyi Du, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Making a Bird AI Expert Work for You and Me. CoRR abs/2112.02747 (2021) - [i44]Ruoyi Du, Dongliang Chang, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data. CoRR abs/2112.02825 (2021) - 2020
- [j51]Fangyi Zhu, Jenq-Neng Hwang, Zhanyu Ma, Guang Chen, Jun Guo:
Understanding Objects in Video: Object-Oriented Video Captioning via Structured Trajectory and Adversarial Learning. IEEE Access 8: 169146-169159 (2020) - [j50]Zhanyu Ma, Sunwoo Kim, Pascual Martínez-Gómez, Jalil Taghia, Yi-Zhe Song, Huiji Gao:
IEEE Access Special Section Editorial: AI-Driven Big Data Processing: Theory, Methodology, and Applications. IEEE Access 8: 199882-199898 (2020) - [j49]Yupeng Li, Jianhua Zhang, Zhanyu Ma, Yu Zhang:
Clustering Analysis in the Wireless Propagation Channel with a Variational Gaussian Mixture Model. IEEE Trans. Big Data 6(2): 223-232 (2020) - [j48]Zhanyu Ma, Jiyang Xie, Hailong Li, Qie Sun, Fredrik Wallin, Zhongwei Si, Jun Guo:
Deep Neural Network-Based Impacts Analysis of Multimodal Factors on Heat Demand Prediction. IEEE Trans. Big Data 6(3): 594-605 (2020) - [j47]Ke Zhang, Na Liu, Xingfang Yuan, Xinyao Guo, Ce Gao, Zhenbing Zhao, Zhanyu Ma:
Fine-Grained Age Estimation in the Wild With Attention LSTM Networks. IEEE Trans. Circuits Syst. Video Technol. 30(9): 3140-3152 (2020) - [j46]Jianjun Lei, Yuxin Song, Bo Peng, Zhanyu Ma, Ling Shao, Yi-Zhe Song:
Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval. IEEE Trans. Circuits Syst. Video Technol. 30(9): 3226-3237 (2020) - [j45]Dongliang Chang, Yifeng Ding, Jiyang Xie, Ayan Kumar Bhunia, Xiaoxu Li, Zhanyu Ma, Ming Wu, Jun Guo, Yi-Zhe Song:
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification. IEEE Trans. Image Process. 29: 4683-4695 (2020) - [j44]Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo:
OSLNet: Deep Small-Sample Classification With an Orthogonal Softmax Layer. IEEE Trans. Image Process. 29: 6482-6495 (2020) - [j43]Zhanyu Ma, Jiyang Xie, Yuping Lai, Jalil Taghia, Jing-Hao Xue, Jun Guo:
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2240-2254 (2020) - [j42]Jing-Hao Xue, Zhanyu Ma, Manuel Roveri, Nathalie Japkowicz:
Guest Editorial Special Issue on Recent Advances in Theory, Methodology, and Applications of Imbalanced Learning. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2688-2690 (2020) - [c54]Yiming Zhang, Hong Yu, Zhanyu Ma:
Speaker Verification System Based on Deformable CNN and Time-Frequency Attention. APSIPA 2020: 1689-1692 - [c53]Xiaoxu Li, Tao Tian, Yuxin Liu, Hong Yu, Jie Cao, Zhanyu Ma:
Adaptive Multi-prototype Relation Network. APSIPA 2020: 1707-1712 - [c52]Xiaoxu Li, Jintao Yan, Jijie Wu, Yuxin Liu, Xiaochen Yang, Zhanyu Ma:
Anti-Noise Relation Network for Few-shot Learning. APSIPA 2020: 1719-1724 - [c51]Tianyi Wu, Yu Lu, Yu Zhu, Chuang Zhang, Ming Wu, Zhanyu Ma, Guodong Guo:
GINet: Graph Interaction Network for Scene Parsing. ECCV (17) 2020: 34-51 - [c50]Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Fine-Grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches. ECCV (20) 2020: 153-168 - [c49]Yixiao Zheng, Dongliang Chang, Jiyang Xie, Zhanyu Ma:
IU-Module: Intersection and Union Module for Fine-Grained Visual Classification. ICME 2020: 1-6 - [c48]Junhui Yin, Siqing Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo:
Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization. ICPR 2020: 4229-4236 - [c47]Zeyu Song, Dongliang Chang, Zhanyu Ma, Xiaoxu Li, Zheng-Hua Tan:
CC-Loss: Channel Correlation Loss for Image Classification. ICPR 2020: 7601-7608 - [c46]Jianhua Yang, Yan Huang, Linjiang Huang, Yunbo Wang, Zhanyu Ma, Liang Wang:
Global Context Enhanced Multi-modal Fusion for Referring Image Segmentation. PRCV (1) 2020: 434-446 - [i43]Yifeng Ding, Shaoguo Wen, Jiyang Xie, Dongliang Chang, Zhanyu Ma, Zhongwei Si, Haibin Ling:
Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification. CoRR abs/2002.03353 (2020) - [i42]Dongliang Chang, Yifeng Ding, Jiyang Xie, Ayan Kumar Bhunia, Xiaoxu Li, Zhanyu Ma, Ming Wu, Jun Guo, Yi-Zhe Song:
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification. CoRR abs/2002.04264 (2020) - [i41]Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, Yi-Zhe Song:
Fine-Grained Instance-Level Sketch-Based Video Retrieval. CoRR abs/2002.09461 (2020) - [i40]Fangyi Zhu, Jenq-Neng Hwang, Zhanyu Ma, Jun Guo:
Object-Oriented Video Captioning with Temporal Graph and Prior Knowledge Building. CoRR abs/2003.03715 (2020) - [i39]Dongliang Chang, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation. CoRR abs/2003.03787 (2020) - [i38]Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Yi-Zhe Song, Zhanyu Ma, Jun Guo:
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches. CoRR abs/2003.03836 (2020) - [i37]Jiyang Xie, Dongliang Chang, Zhanyu Ma, Guoqiang Zhang, Jun Guo:
Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology. CoRR abs/2003.04575 (2020) - [i36]Junhui Yin, Siqing Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo:
Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization. CoRR abs/2003.04719 (2020) - [i35]Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo:
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer. CoRR abs/2004.09033 (2020) - [i34]Xiaoxu Li, Zhuo Sun, Jing-Hao Xue, Zhanyu Ma:
A Concise Review of Recent Few-shot Meta-learning Methods. CoRR abs/2005.10953 (2020) - [i33]Xiaoxu Li, Liyun Yu, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue, Jie Cao, Jun Guo:
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification. CoRR abs/2006.15366 (2020) - [i32]Junhui Yin, Jiayan Qiu, Siqing Zhang, Zhanyu Ma, Jun Guo:
SSKD: Self-Supervised Knowledge Distillation for Cross Domain Adaptive Person Re-Identification. CoRR abs/2009.05972 (2020) - [i31]Tianyi Wu, Yu Lu, Yu Zhu, Chuang Zhang, Ming Wu, Zhanyu Ma, Guodong Guo:
GINet: Graph Interaction Network for Scene Parsing. CoRR abs/2009.06160 (2020) - [i30]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo:
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization. CoRR abs/2010.05244 (2020) - [i29]Zeyu Song, Dongliang Chang, Zhanyu Ma, Xiaoxu Li, Zheng-Hua Tan:
CC-Loss: Channel Correlation Loss For Image Classification. CoRR abs/2010.05469 (2020) - [i28]Jianhua Yang, Yan Huang, Kai Niu, Zhanyu Ma, Liang Wang:
Actor and Action Modular Network for Text-based Video Segmentation. CoRR abs/2011.00786 (2020) - [i27]Jiyang Xie, Zhanyu Ma, Jing-Hao Xue, Guoqiang Zhang, Jun Guo:
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference. CoRR abs/2011.08595 (2020) - [i26]Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Your "Labrador" is My "Dog": Fine-Grained, or Not. CoRR abs/2011.09040 (2020) - [i25]Xiaoxu Li, Jijie Wu, Zhuo Sun, Zhanyu Ma, Jie Cao, Jing-Hao Xue:
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. CoRR abs/2011.14311 (2020) - [i24]Wei Xu, Dingkang Liang, Yixiao Zheng, Zhanyu Ma:
Dilated-Scale-Aware Attention ConvNet For Multi-Class Object Counting. CoRR abs/2012.08149 (2020) - [i23]Siqing Zhang, Ruoyi Du, Dongliang Chang, Zhanyu Ma, Jun Guo:
Knowledge Transfer Based Fine-grained Visual Classification. CoRR abs/2012.11389 (2020)
2010 – 2019
- 2019
- [j41]Zhanyu Ma, Yifeng Ding, Shaoguo Wen, Jiyang Xie, Yifeng Jin, Zhongwei Si, Haining Wang:
Shoe-Print Image Retrieval With Multi-Part Weighted CNN. IEEE Access 7: 59728-59736 (2019) - [j40]Fangyi Zhu, Zhanyu Ma, Xiaoxu Li, Guang Chen, Jen-Tzung Chien, Jing-Hao Xue, Jun Guo:
Image-text dual neural network with decision strategy for small-sample image classification. Neurocomputing 328: 182-188 (2019) - [j39]Zhanyu Ma, Yuping Lai, W. Bastiaan Kleijn, Yi-Zhe Song, Liang Wang, Jun Guo:
Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling. IEEE Trans. Neural Networks Learn. Syst. 30(2): 449-463 (2019) - [j38]Zhanyu Ma, Hong Yu, Wei Chen, Jun Guo:
Short Utterance Based Speech Language Identification in Intelligent Vehicles With Time-Scale Modifications and Deep Bottleneck Features. IEEE Trans. Veh. Technol. 68(1): 121-128 (2019) - [j37]Zhanyu Ma, Dongliang Chang, Jiyang Xie, Yifeng Ding, Shaoguo Wen, Xiaoxu Li, Zhongwei Si, Jun Guo:
Fine-Grained Vehicle Classification With Channel Max Pooling Modified CNNs. IEEE Trans. Veh. Technol. 68(4): 3224-3233 (2019) - [j36]Qi Qi, Jingyu Wang, Zhanyu Ma, Haifeng Sun, Yufei Cao, Lingxin Zhang, Jianxin Liao:
Knowledge-Driven Service Offloading Decision for Vehicular Edge Computing: A Deep Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 68(5): 4192-4203 (2019) - [j35]Xiaoxu Li, Liyun Yu, Dongliang Chang, Zhanyu Ma, Jie Cao:
Dual Cross-Entropy Loss for Small-Sample Fine-Grained Vehicle Classification. IEEE Trans. Veh. Technol. 68(5): 4204-4212 (2019) - [c45]Jie Cao, Yinping Qiu, Dongliang Chang, Xiaoxu Li, Zhanyu Ma:
Dynamic Attention Loss for Small-Sample Image Classification. APSIPA 2019: 75-79 - [c44]Xiaoxu Li, Jijie Wu, Dongliang Chang, Weifeng Huang, Zhanyu Ma, Jie Cao:
Mixed Attention Mechanism for Small-Sample Fine-grained Image Classification. APSIPA 2019: 80-85 - [c43]Jie Cao, Yaofeng Zhou, Hong Yu, Xiaoxu Li, Dan Wang, Zhanyu Ma:
A Loss With Mixed Penalty for Speech Enhancement Generative Adversarial Network. APSIPA 2019: 86-90 - [c42]Xiaoxu Li, Liyun Yu, Jie Cao, Dongliang Chang, Zhanyu Ma, Nian Liu:
Small-Sample Image Classification Method of Combining Prototype and Margin Learning. APSIPA 2019: 91-95 - [c41]Ke Zhang, Yurong Guo, Xinsheng Wang, Jinsha Yuan, Zhanyu Ma, Zhenbing Zhao:
Channel-Wise and Feature-Points Reweights Densenet for Image Classification. ICIP 2019: 410-414 - [c40]Yao Xie, Peng Xu, Zhanyu Ma:
Deep Zero-Shot Learning for Scene Sketch. ICIP 2019: 3661-3665 - [c39]Lu Cheng, Dongliang Chang, Jiyang Xie, Rongliang Ma, Chunsheng Wu, Zhanyu Ma:
Channel Max Pooling for Image Classification. IScIDE (1) 2019: 273-284 - [c38]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo:
Soft Dropout And Its Variational Bayes Approximation. MLSP 2019: 1-6 - [c37]Ke Zhang, Xinsheng Wang, Yurong Guo, Zhenbing Zhao, Zhanyu Ma:
Competing Ratio Loss for Multi-class image Classification. VCIP 2019: 1-4 - [c36]Xinran Wei, Dongliang Chang, Jiyang Xie, Yixiao Zheng, Chen Gong, Chuang Zhang, Zhanyu Ma:
FICAL: Focal Inter-Class Angular Loss for Image Classification. VCIP 2019: 1-4 - [i22]Qi Qi, Zhanyu Ma:
Vehicular Edge Computing via Deep Reinforcement Learning. CoRR abs/1901.04290 (2019) - [i21]Zhanyu Ma, Jalil Taghia, Jun Guo:
On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models. CoRR abs/1902.05068 (2019) - [i20]Zhanyu Ma, Dongliang Chang, Xiaoxu Li:
Channel Max Pooling Layer for Fine-Grained Vehicle Classification. CoRR abs/1902.11107 (2019) - [i19]Yao Xie, Peng Xu, Zhanyu Ma:
Deep Zero-Shot Learning for Scene Sketch. CoRR abs/1905.04510 (2019) - [i18]Jianjun Lei, Yuxin Song, Bo Peng, Zhanyu Ma, Ling Shao, Yi-Zhe Song:
Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval. CoRR abs/1911.04470 (2019) - [i17]Ke Zhang, Xinsheng Wang, Yurong Guo, Dongliang Chang, Zhenbing Zhao, Zhanyu Ma, Tony X. Han:
Competing Ratio Loss for Discriminative Multi-class Image Classification. CoRR abs/1912.11642 (2019) - 2018
- [j34]Zhanyu Ma, Haibin Ling, Yi-Zhe Song, Timothy M. Hospedales, Wei Jia, Yuxin Peng, Aili Han:
IEEE Access Special Section Editorial: Recent Advantages of Computer Vision. IEEE Access 6: 31481-31485 (2018) - [j33]Zhanyu Ma, Jen-Tzung Chien, Zheng-Hua Tan, Yi-Zhe Song, Jalil Taghia, Ming Xiao:
Recent advances in machine learning for non-Gaussian data processing. Neurocomputing 278: 1-3 (2018) - [j32]Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Tao Xiang, W. Bastiaan Kleijn, Jun Guo:
Cross-modal subspace learning for fine-grained sketch-based image retrieval. Neurocomputing 278: 75-86 (2018) - [j31]Xiaoxu Li, Zhanyu Ma, Pai Peng, Xiaowei Guo, Feiyue Huang, Xiaojie Wang, Jun Guo:
Supervised latent Dirichlet allocation with a mixture of sparse softmax. Neurocomputing 312: 324-335 (2018) - [j30]Xiaoxu Li, Zhanyu Ma, Pai Peng, Xiaowei Guo, Feiyue Huang, Xiaojie Wang, Jun Guo:
Corrigendum to "Supervised latent Dirichlet allocation with a mixture of sparse softmax" [Neurocomputing, volume 312, 27 October 2018, Pages 324-335]. Neurocomputing 318: 306 (2018) - [j29]Rui Zhu, Ziyu Wang, Zhanyu Ma, Guijin Wang, Jing-Hao Xue:
LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test. Pattern Recognit. Lett. 116: 36-42 (2018) - [j28]Zhanyu Ma, Jing-Hao Xue, Arne Leijon, Zheng-Hua Tan, Zhen Yang, Jun Guo:
Decorrelation of Neutral Vector Variables: Theory and Applications. IEEE Trans. Neural Networks Learn. Syst. 29(1): 129-143 (2018) - [j27]Hong Yu, Zheng-Hua Tan, Zhanyu Ma, Rainer Martin, Jun Guo:
Spoofing Detection in Automatic Speaker Verification Systems Using DNN Classifiers and Dynamic Acoustic Features. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4633-4644 (2018) - [j26]Jiyang Xie, Zeyu Song, Yupeng Li, Yanting Zhang, Hong Yu, Jinnan Zhan, Zhanyu Ma, Yuanyuan Qiao, Jianhua Zhang, Jun Guo:
A Survey on Machine Learning-Based Mobile Big Data Analysis: Challenges and Applications. Wirel. Commun. Mob. Comput. 2018: 8738613:1-8738613:19 (2018) - [c35]Dongliang Chang, Xiaoxu Li, Jiyang Xie, Zhanyu Ma, Jun Guo, Jie Cao:
SSE: A New Selective Initialization Strategy for Snapshot Ensembling. CCIS 2018: 542-547 - [c34]Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo:
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. CVPR 2018: 8090-8098 - [c33]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin, Jun Guo:
Balson: Bayesian least squares Optimization with Nonnegative L1-norm Constraint. MLSP 2018: 1-6 - [c32]Yupeng Li, Jianhua Zhang, Zhanyu Ma:
Clustering in wireless propagation channel with a statistics-based framework. WCNC 2018: 1-6 - [i16]Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo:
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. CoRR abs/1804.01401 (2018) - [i15]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin, Jun Guo:
BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint. CoRR abs/1807.02795 (2018) - [i14]Zhanyu Ma, Yuping Lai:
Infinite Mixture of Inverted Dirichlet Distributions. CoRR abs/1807.10693 (2018) - [i13]Jiyang Xie, Jiaxin Guo, Zhanyu Ma, Jing-Hao Xue, Qie Sun, Hailong Li, Jun Guo:
SEA: A Combined Model for Heat Demand Prediction. CoRR abs/1808.00331 (2018) - [i12]Jiyang Xie, Zeyu Song, Yupeng Li, Zhanyu Ma:
Mobile big data analysis with machine learning. CoRR abs/1808.00803 (2018) - [i11]Zhanyu Ma:
Classification of EEG Signal based on non-Gaussian Neutral Vector. CoRR abs/1808.00814 (2018) - [i10]Zhanyu Ma:
Dirichlet Mixture Model based VQ Performance Prediction for Line Spectral Frequency. CoRR abs/1808.00818 (2018) - [i9]Zhanyu Ma, Hong Yu:
Histogram Transform-based Speaker Identification. CoRR abs/1808.00959 (2018) - [i8]Zhanyu Ma, Arne Leijon:
Statistical Speech Model Description with VMF Mixture Model. CoRR abs/1808.00960 (2018) - [i7]Jiyang Xie, Zhanyu Ma, Jun Guo:
Impacts of Weather Conditions on District Heat System. CoRR abs/1808.00961 (2018) - [i6]Zhanyu Ma, Hong Yu:
Language Identification with Deep Bottleneck Features. CoRR abs/1809.08909 (2018) - 2017
- [j25]Hong Yu, Zheng-Hua Tan, Yiming Zhang, Zhanyu Ma, Jun Guo:
DNN Filter Bank Cepstral Coefficients for Spoofing Detection. IEEE Access 5: 4779-4787 (2017) - [j24]Xiaochuan Ma, Jianhua Zhang, Yuxiang Zhang, Zhanyu Ma:
Data scheme-based wireless channel modeling method: motivation, principle and performance. J. Commun. Inf. Networks 2(3): 41-51 (2017) - [j23]Zhanyu Ma, Jiyang Xie, Hailong Li, Qie Sun, Zhongwei Si, Jianhua Zhang, Jun Guo:
The Role of Data Analysis in the Development of Intelligent Energy Networks. IEEE Netw. 31(5): 88-95 (2017) - [c31]Fangyi Zhu, Xiaoxu Li, Zhanyu Ma, Guang Chen, Pai Peng, Xiaowei Guo, Jen-Tzung Chien, Jun Guo:
Image-Text Dual Model for Small-Sample Image Classification. CCCV (2) 2017: 556-565 - [c30]Xiaochuan Ma, Jianhua Zhang, Yuxiang Zhang, Zhanyu Ma, Yu Zhang:
A PCA-based modeling method for wireless MIMO channel. INFOCOM Workshops 2017: 874-879 - [c29]Hong Yu, Zheng-Hua Tan, Zhanyu Ma, Jun Guo:
Adversarial Network Bottleneck Features for Noise Robust Speaker Verification. INTERSPEECH 2017: 1492-1496 - [i5]Hong Yu, Zheng-Hua Tan, Zhanyu Ma, Jun Guo:
DNN Filter Bank Cepstral Coefficients for Spoofing Detection. CoRR abs/1702.03791 (2017) - [i4]Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Tao Xiang, W. Bastiaan Kleijn, Jun Guo:
Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval. CoRR abs/1705.09888 (2017) - [i3]Zhanyu Ma, Jing-Hao Xue, Arne Leijon, Zheng-Hua Tan, Zhen Yang, Jun Guo:
Decorrelation of Neutral Vector Variables: Theory and Applications. CoRR abs/1705.10524 (2017) - [i2]Zhanyu Ma, Jiyang Xie, Hailong Li, Qie Sun, Zhongwei Si, Jianhua Zhang, Jun Guo:
The Role of Data Analysis in the Development of Intelligent Energy Networks. CoRR abs/1705.11132 (2017) - [i1]Hong Yu, Zheng-Hua Tan, Zhanyu Ma, Jun Guo:
Adversarial Network Bottleneck Features for Noise Robust Speaker Verification. CoRR abs/1706.03397 (2017) - 2016
- [j22]Zhongwei Si, Hong Yu, Zhanyu Ma:
Learning Deep Features for DNA Methylation Data Analysis. IEEE Access 4: 2732-2737 (2016) - [j21]Zhanyu Ma, Hong Yu, Zheng-Hua Tan, Jun Guo:
Text-Independent Speaker Identification Using the Histogram Transform Model. IEEE Access 4: 9733-9739 (2016) - [j20]Yuanyuan Qiao, Jie Yang, Haiyang He, Yihang Cheng, Zhanyu Ma:
User location prediction with energy efficiency model in the Long Term-Evolution network. Int. J. Commun. Syst. 29(14): 2169-2187 (2016) - [j19]Zhanyu Ma, Zheng-Hua Tan, Jun Guo:
Feature selection for neutral vector in EEG signal classification. Neurocomputing 174: 937-945 (2016) - [j18]Qie Sun, Hailong Li, Zhanyu Ma, Chao Wang, Javier Campillo, Qi Zhang, Fredrik Wallin, Jun Guo:
A Comprehensive Review of Smart Energy Meters in Intelligent Energy Networks. IEEE Internet Things J. 3(4): 464-479 (2016) - [j17]Chunyun Zhang, Zhongwei Si, Zhanyu Ma, Xiaoming Xi, Yilong Yin:
Mining Sequential Update Summarization with Hierarchical Text Analysis. Mob. Inf. Syst. 2016: 1340973:1-1340973:10 (2016) - [c28]Yu Sun, Wenxue Wang, Honggang Zhang, Zhanyu Ma:
Detecting formula based on Stroke Width Transform for online Chinese examination question retrieval. DMIAF 2016: 143-147 - [c27]Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Jun Guo:
Instance-Level Coupled Subspace Learning for Fine-Grained Sketch-Based Image Retrieval. ECCV Workshops (1) 2016: 19-34 - [c26]Huanyu Zhou, Ni Zhang, Di Huang, Zhanyu Ma, Weisong Hu, Jun Guo:
Activation force-based air pollution tracing. IC-NIDC 2016: 427-431 - [c25]Peng Xu, Ke Li, Zhanyu Ma, Yi-Zhe Song, Liang Wang, Jun Guo:
Cross-modal subspace learning for sketch-based image retrieval: A comparative study. IC-NIDC 2016: 500-504 - [c24]Ling Qi, Yuanyuan Qiao, Fehmi Ben Abdesslem, Zhanyu Ma, Jie Yang:
Oscillation Resolution for Massive Cell Phone Traffic Data. MobiData@MobiSys 2016: 25-30 - [c23]Yanjie Chen, Yuhong Li, Feng Qi, Zhanyu Ma, Honggang Zhang:
Cycled merging registration of point clouds for 3D human body modeling. SPLINE 2016: 1-5 - [c22]Ziheng Wang, Yonggang Qi, Jun Liu, Zhanyu Ma:
User intention understanding from scratch. SPLINE 2016: 1-4 - [c21]Hong Yu, Achintya Kumar Sarkar, Dennis Alexander Lehmann Thomsen, Zheng-Hua Tan, Zhanyu Ma, Jun Guo:
Effect of multi-condition training and speech enhancement methods on spoofing detection. SPLINE 2016: 1-5 - 2015
- [j16]Michael Charles Davis, Zhanyu Ma, Weiru Liu, Paul Miller, Ruth F. Hunter, Frank Kee:
Generating Realistic Labelled, Weighted Random Graphs. Algorithms 8(4): 1143-1174 (2015) - [j15]Di Huang, Ni Zhang, Hong Yu, Huanyu Zhou, Zhanyu Ma, Weisong Hu, Jun Guo:
Activation Force-based Air Pollution Observation Station Clustering. EAI Endorsed Trans. Wirel. Spectr. 1(5): e2 (2015) - [j14]Kaili Zhao, Honggang Zhang, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Multi-label learning with prior knowledge for facial expression analysis. Neurocomputing 157: 280-289 (2015) - [j13]Pravin Kumar Rana, Jalil Taghia, Zhanyu Ma, Markus Flierl:
Probabilistic Multiview Depth Image Enhancement Using Variational Inference. IEEE J. Sel. Top. Signal Process. 9(3): 435-448 (2015) - [j12]Chunyun Zhang, Weiran Xu, Zhanyu Ma, Sheng Gao, Qun Li, Jun Guo:
Construction of semantic bootstrapping models for relation extraction. Knowl. Based Syst. 83: 128-137 (2015) - [j11]Chunyun Zhang, Yichang Zhang, Weiran Xu, Zhanyu Ma, Yan Leng, Jun Guo:
Mining activation force defined dependency patterns for relation extraction. Knowl. Based Syst. 86: 278-287 (2015) - [j10]Zhanyu Ma, Andrew E. Teschendorff, Arne Leijon, Yuanyuan Qiao, Honggang Zhang, Jun Guo:
Variational Bayesian Matrix Factorization for Bounded Support Data. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 876-889 (2015) - [j9]Zhanyu Ma, Jalil Taghia, W. Bastiaan Kleijn, Arne Leijon, Jun Guo:
Line spectral frequencies modeling by a mixture of von Mises-Fisher distributions. Signal Process. 114: 219-224 (2015) - [c20]Rasmus Lyngby Kristensen, Zheng-Hua Tan, Zhanyu Ma, Jun Guo:
Binary pattern flavored feature extractors for Facial Expression Recognition: An overview. MIPRO 2015: 1131-1137 - [c19]Di Huang, Ni Zhang, Hong Yu, Huanyu Zhou, Zhanyu Ma, Weisong Hu, Jun Guo:
Activation force-based air pollution observation station clustering. QSHINE 2015: 115-121 - [c18]Chunyun Zhang, Zhanyu Ma, Jiayue Zhang, Weiran Xu, Jun Guo:
A multi-level system for sequential update summarization. QSHINE 2015: 144-148 - 2014
- [j8]Jalil Taghia, Zhanyu Ma, Arne Leijon:
Bayesian Estimation of the von-Mises Fisher Mixture Model with Variational Inference. IEEE Trans. Pattern Anal. Mach. Intell. 36(9): 1701-1715 (2014) - [j7]Zhanyu Ma, Pravin Kumar Rana, Jalil Taghia, Markus Flierl, Arne Leijon:
Bayesian estimation of Dirichlet mixture model with variational inference. Pattern Recognit. 47(9): 3143-3157 (2014) - [j6]Zhanyu Ma, Saikat Chatterjee, W. Bastiaan Kleijn, Jun Guo:
Dirichlet mixture modeling to estimate an empirical lower bound for LSF quantization. Signal Process. 104: 291-295 (2014) - [j5]Zhanyu Ma, Arne Leijon, Zheng-Hua Tan, Sheng Gao:
Predictive Distribution of the Dirichlet Mixture Model by Local Variational Inference. J. Signal Process. Syst. 74(3): 359-374 (2014) - [c17]Hong Yu, Zhanyu Ma, Minyue Li, Jun Guo:
Histogram transform model using MFCC features for text-independent speaker identification. ACSSC 2014: 500-504 - [c16]Zhanyu Ma, Rainer Martin, Jun Guo, Honggang Zhang:
Nonlinear estimation of missing ΔLSF parameters by a mixture of Dirichlet distributions. ICASSP 2014: 6929-6933 - [c15]Feng Qi, Honggang Zhang, Bo Zhang, Zhanyu Ma, Na Liu:
Supervoxels for human and clothes in RGB-D image. VITAE 2014: 1-5 - 2013
- [j4]Zhanyu Ma, Andrew E. Teschendorff:
A variational Bayes beta Mixture Model for Feature Selection in DNA methylation Studies. J. Bioinform. Comput. Biol. 11(4) (2013) - [j3]Zhanyu Ma, Arne Leijon, W. Bastiaan Kleijn:
Vector quantization of LSF parameters with a mixture of dirichlet distributions. IEEE Trans. Speech Audio Process. 21(9): 1777-1790 (2013) - [j2]Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinari, Zhanyu Ma, Jun Guo:
A Cross-Domain Recommendation Model for Cyber-Physical Systems. IEEE Trans. Emerg. Top. Comput. 1(2): 384-393 (2013) - [c14]Pravin Kumar Rana, Zhanyu Ma, Jalil Taghia, Markus Flierl:
Multiview depth map enhancement by variational bayes inference estimation of Dirichlet mixture models. ICASSP 2013: 1528-1532 - [c13]Jalil Taghia, Zhanyu Ma, Arne Leijon:
On von-mises fisher mixture model in text-independent speaker identification. INTERSPEECH 2013: 2499-2503 - 2012
- [c12]Zhanyu Ma:
Bayesian estimation of the Dirichlet distribution with expectation propagation. EUSIPCO 2012: 689-693 - [c11]Zhanyu Ma, Arne Leijon:
A model-based collaborative filtering method for bounded support data. IC-NIDC 2012: 545-548 - [c10]Zhanyu Ma, Zheng-Hua Tan, Swati Prasad:
EEG signal classification with super-Dirichlet mixture model. SSP 2012: 440-443 - 2011
- [b1]Zhanyu Ma:
Non-Gaussian Statistical Modelsand Their Applications. KTH Royal Institute of Technology, Sweden, 2011 - [j1]Zhanyu Ma, Arne Leijon:
Bayesian Estimation of Beta Mixture Models with Variational Inference. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2160-2173 (2011) - [c9]Zhanyu Ma, Arne Leijon:
Super-Dirichlet Mixture Models Using Differential Line Spectral Frequencies for Text-Independent Speaker Identification. INTERSPEECH 2011: 2349-2352 - [c8]Zhanyu Ma, Arne Leijon:
Approximating the predictive distribution of the beta distribution with the local variational method. MLSP 2011: 1-6 - 2010
- [c7]Zhanyu Ma, Arne Leijon:
Human skin color detection in RGB space with Bayesian estimation of beta mixture models. EUSIPCO 2010: 1204-1208 - [c6]Zhanyu Ma, Arne Leijon:
Expectation propagation for estimating the parameters of the beta distribution. ICASSP 2010: 2082-2085 - [c5]Zhanyu Ma, Arne Leijon:
Modelling speech line spectral frequencies with dirichlet mixture models. INTERSPEECH 2010: 2370-2373 - [c4]Zhanyu Ma, Arne Leijon:
PDF-optimized LSF vector quantization based on beta mixture models. INTERSPEECH 2010: 2374-2377
2000 – 2009
- 2009
- [c3]Zhanyu Ma, Arne Leijon:
Beta mixture models and the application to image classification. ICIP 2009: 2045-2048 - [c2]Zhanyu Ma, Arne Leijon:
Human audio-visual consonant recognition analyzed with three bimodal integration models. INTERSPEECH 2009: 812-815 - 2008
- [c1]Zhanyu Ma, Arne Leijon:
A probabilistic principal component analysis based hidden Markov model for audio-visual speech recognition. ACSCC 2008: 2170-2173
Coauthor Index
[j92] [j91] [j87] [j85] [c113] [c106] [i75] [j82] [c103] [c102] [c100] [c99] [c96] [c90] [i65] [j72] [j71] [c76] [c75] [c74] [c73] [i63] [i60] [i58] [j61] [j60] [j54] [c67] [c64] [c60] [c57] [c55] [i57] [i56] [i54] [i45] [i44] [j45] [j44] [c50] [c49] [c48] [c47] [i43] [i42] [i39] [i38] [i37] [i36] [i35] [i29] [i26] [i23] [j37] [j35] [c45] [c44] [c42] [c39] [c36] [i20] [i17] [c35]
[j93] [j92] [j91] [j89] [j87] [c114] [c111] [c107] [i78] [i75] [i73] [j82] [j77] [j75] [c103] [c97] [c93] [c91] [c88] [i66] [i64] [j74] [j73] [j72] [j71] [j70] [j69] [j64] [c83] [c80] [c77] [c72] [i61] [i58] [j61] [j57] [j56] [j53] [j52] [c67] [c64] [c57] [c55] [i57] [i53] [i52] [i51] [i45] [i44] [j51] [j48] [j45] [j44] [j43] [c50] [c48] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i33] [i32] [i30] [i27] [i26] [i23] [j40] [j39] [j38] [j37] [c38] [i21] [j32] [j31] [j30] [j28] [j27] [j26] [c35] [c34] [c33] [i16] [i15] [i13] [i7] [j25] [j23] [c31] [c29] [i5] [i4] [i3] [i2] [i1] [j21] [j19] [j18] [c27] [c26] [c25] [c21] [j15] [j14] [j12] [j11] [j10] [j9] [c20] [c19] [c18] [j6] [c17] [c16] [j2]
[j90] [j76] [j75] [j74] [j73] [j72] [j71] [j70] [j69] [j65] [j64] [c81] [c79] [c73] [c72] [i59] [j54] [j53] [j52] [c65] [c60] [c58] [i56] [i52] [i51] [i47] [i46] [j48] [j45] [j43] [c50] [c49] [i43] [i42] [i38] [i37] [i30] [i27] [j41] [j37] [c39] [c38] [c36] [j26] [c35] [c33] [i15] [i13] [i12] [i7] [j23] [i2]
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